IT Business Application Intern: Summer 2027

It Business Application Intern SUMMARY: The IT Business Applications Intern will support Viaflex’s business systems, data, and technology initiatives while gaining hands-on experience in a manufacturing environment. This position will work closely with the IT team to support our ERP environment, troubleshoot and resolve user support requests, assist with data warehouse and reporting initiatives, and explore practical applications of artificial intelligence and automation. The ideal candidate is pursuing a degree in Computer Science, Information Systems, Data Science, or a related field and has an interest in applying technology to solve real business problems. This internship will provide exposure to enterprise applications, cloud technologies, databases, data analytics, artificial intelligence, business processes, and IT project work. ESSENTIAL FUNCTIONS: · Work with IT team members and business users to investigate application issues, identify root causes, document findings, and assist with implementing solutions. · Assist with the configuration, testing, and development of ERP functionality, integrations, workflows, reports, and process automation. · Support data warehouse, reporting, and analytics initiatives, including data validation, troubleshooting, documentation, and development activities. · Assist with writing and reviewing SQL queries and working with relational data to support troubleshooting, reporting, and analysis. · Research, evaluate, and prototype practical uses of artificial intelligence, generative AI, and automation within IT and business processes. · Identify opportunities where AI or automation can improve productivity, access to information, business processes, data analysis, or user support. · Attend and participate in daily morning stand ups, sprint planning, backlog refinement, and sprint retrospective meetings as needed. · Collaborate with IT, business users, vendors, and other project stakeholders as needed. · Engage and participate in Viaflex-sponsored events. · Work closely with assigned mentor and manager to successfully complete internship goals and assigned projects. · Complete and present a summer-end internship presentation highlighting work completed, lessons learned, and recommendations. · Demonstrate Viaflex Team Member Values in daily actions and interactions. EDUCATION & EXPERIENCE: · High school diploma or GED required. · Currently pursuing an associate or bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Science, Business Analytics, or a related technical field. · Coursework, academic projects, or previous experience involving programming, databases, data analytics, artificial intelligence, cloud technologies, or enterprise applications is preferred. · Previous internship or professional IT experience is beneficial but not required. KNOWLEDGE, SKILLS & ABILITIES: · Foundational understanding of computer science concepts, software applications, databases, and information systems. · Familiarity with SQL and relational databases; experience writing basic queries is preferred. · Exposure to one or more programming or scripting languages such as Python, JavaScript, Java, C#, or similar technologies is preferred. · Interest in artificial intelligence, generative AI, machine learning, large language models, and emerging technology, with an ability to think critically about how these technologies can be applied to business problems. · Strong analytical and problem-solving skills with the ability to break down unfamiliar problems and investigate potential solutions. · Ability to work with data, recognize inconsistencies, validate results, and communicate findings. · Ability to learn new applications, technologies, and business processes quickly. · Strong written and verbal communication skills with the ability to communicate technical concepts to both technical and non-technical team members. · Ability to document technical processes, troubleshooting steps, and solutions in a clear and organized manner. · Curiosity and initiative to identify opportunities for process improvement, automation, and better use of technology.